Joseph Campion

Stanford University, Universidad de Ingeniería y Tecnología

Papers

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About

Joseph Campion is a researcher at the intersection of open-source hardware and human-computer interaction, with a primary focus on democratizing access to haptic and robotic technologies. His most influential work, "Open source, modular, customizable, 3-D printed kinesthetic haptic devices" (2017, 21 citations), pioneers a paradigm shift in educational haptics by proposing an open-source hardware framework that allows researchers, educators, and students to freely share, customize, and improve tactile feedback designs. This contribution lowers the barrier to entry for haptic research, enabling communities of practice to collaboratively advance the field. Campion also explores artificial intelligence applications, as demonstrated in his work "Minimax Checkers Playing GUI: A Foundation for AI Applications" (2018, 6 citations), which implements a successful minimax algorithm within a MATLAB interface, tested against students at the Universidad de Ingeniería. By combining open-source principles with AI and haptics, Campion empowers a new generation of innovators to build upon shared designs, fostering an ecosystem where technological progress is driven by collective customization rather than proprietary constraints.